Staff Software Engineer, Engine & Tools - Unpublished R&D Product

Staff Software Engineer, Engine & Tools - Unpublished R&D Product at Riot Games scores 83 out of 100 on AI centrality, which makes it a Level 4 role on this board.

Sydney, Australialead

AI in this role

pytorchtensorflow

As a Staff Software Engineer, Engine & Tools on an unpublished R&D product, you will be responsible for designing and implementing AI/ML driven tools and features. You will work closely with designers, producers, and other engineers to understand their needs, and will be hands-on in conceptualizing, planning, implementing, and maintaining AI-powered solutions to increase developer efficiency. We’re looking for someone who is passionate about empowering their team to deliver great player experiences, works well in cross-disciplinary teams, is aware of the latest trends, and finds practical applications of AI/ML technologies to current and future development challenges.

Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As a Staff Software Engineer, you’ll drive important features and provide other engineers with a clear illustration of extraordinary engineering. We work with both new and current technology, creating innovative solutions to overcome high-volume obstacles and to deliver player value. You will report to an Engineering Manager supporting the Tech Foundations team within an unpublished R&D product.

This is a full-time role, based in Sydney, Australia. Internal Job Title: Software Engineer III.

Responsibilities:

Work closely with designers, artists, and other engineers to discover and conceptualize opportunities for AI-powered workflow enhancements
Partner with engineering leaders to help define the team’s future vision for AI-based developer tooling and workflows
Lead the application of AI/ML systems to solve developer and player facing problems
Architect and help implement the foundational elements of the game’s tools ecosystem
Collaborate with artists, designers, QA, and fellow engineers to scope, architect, implement, and test AI/ML-based solutions
Keep up with technical developments in the industry relating to AI/ML and find practical applications that help solve the team challenges
Partner with central teams to share AI-based solutions across Riot’s portfolio
Model the team’s best practices for tools architecture and implementation
Mentor engineers across multiple levels as the team scales, and provide feedback that supports their technical growth
Support and advance the team’s adoption of AI/ML tools for game development through mentorship, documentation, and advocacy
Provide documentation and trainings on new tools and workflows to internal customers

Required Qualifications:

8+ years (or equivalent depth) of professional experience in software engineering, including experience delivering live or shipped products at scale
3+ years (or equivalent depth) working on game development tools & C++
Experience in Unreal Engine and awareness of upcoming tools in game development
Experience working with AI/ML systems in a production-ready environment
B.S. in computer science or equivalent experience
Proven ability to navigate ambiguity and influence cross-functional stakeholders using strong communication skills across technical and non-technical audiences

Desired Qualifications:

Applied knowledge in one or more of the following: reinforcement learning, imitation learning, decision-making under uncertainty, LLM, AI planning, or multi-agent systems
Experience working with modern ML/data science libraries and frameworks such as PyTorch/TensorFlow, pandas, etc.
Deep knowledge tooling utilized in AAA games & how they integrate with both client and backend systems.
Experience developing AI- or ML-driven content tools that integrate with art pipelines (e.g. Maya, Blender, etc.)
Experience mentoring technical leaders and contributing to engineering culture, across distributed teams

Our Perks:

At Riot we strongly believe in work / life balance, and we encourage that with our open paid time off policy, paid parental leave (for both primary and secondary carers) and flexible work schedules to fit your lifestyle. We also believe that work should be fun, we have co-op gaming areas, a play fund so you can broaden and deepen your knowledge of players and community, and all the snacks you would ever need to power through your day (even healthy snacks!). And that’s not all we offer, there’s also:

Medical Insurance that covers you and your dependents
Employee Assistance Program
Wellness fund
Donation matching of time and money to registered charities
Learning and Development opportunities

Riot Games fosters a player and workplace experience that values teamwork embodied by the Summoner's Code and Community Code. Our culture embraces differences as a strength, and our values are the guiding principles for how we approach work. We are committed to putting diversity and inclusion (D&I) at the center of everything we do and promoting a fair and collaborative culture where Rioters treat one another with dignity and respect. We encourage you to read more about our value of thriving together and our ongoing work to build the most inclusive company in Gaming.

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A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

PyTorchTensorFlow

Questions you could be asked

What's a project where you used PyTorch hands-on?
Walk me through how you've used TensorFlow in your day-to-day work.
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: PyTorch and TensorFlow. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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